Dynamic modeling of local reaction conditions in an agitated aerobic fermenter

Marko Laakkonen; Pasi Moilanen; Ville Alopaeus; Juhani Aittamaa

doi:10.1002/aic.10782

Modelling electrocatalytic reactions with a concerted treatment of multistep electron transfer kinetics and local reaction conditions

Journal of Physics Condensed Matter ◽

10.1088/1361-648x/ac26fb ◽

2021 ◽

Vol 33 (50) ◽

pp. 504002 ◽

Cited By ~ 1

Author(s):

Lulu Zhang ◽

Jun Cai ◽

Yanxia Chen ◽

Jun Huang

Keyword(s):

Electron Transfer ◽

Local Reaction ◽

Reaction Conditions ◽

Electron Transfer Kinetics ◽

Electrocatalytic Reactions

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Local Reaction Probability Effects in Non-Classical Kinetics: Batch and Steady State

MRS Proceedings ◽

10.1557/proc-290-279 ◽

1992 ◽

Vol 290 ◽

Cited By ~ 1

Author(s):

Zhong-You Shi ◽

Raoul Kopelman

Keyword(s):

Steady State ◽

Nearest Neighbor ◽

Local Reaction ◽

Reaction Order ◽

Reaction Probability ◽

Neighbor Distance ◽

Reaction Conditions ◽

Diffusion Limited ◽

Diffusion Limited Reaction ◽

Effective Reaction

AbstractThe reaction A+A→0 is simulated in 1-D and 2-D square lattices with various local reaction probabilities, P. The effective reaction order, X, and the nearest neighbor distance distribution (NNDD), are evaluated in all these reactions. For batch reactions, sharp increases in X with increasing P occur at early times. Classical reaction limited kinetics is obtained at early times only when P→0. At long times, all reactions are in the non-classical, diffusion limited regime, regardless of P. For steady state reactions, our results demonstrate a similar behavior of X with P. The NNDD at steady state in 1-D media at P=1.0, i.e. diffusion limited reaction, follows the previously reported skewed exponential shape. This is no longer true for P<I. Finally, at P→0, as expected, an exponential (Poissonian) distribution is obtained for both reaction conditions.

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Ordered silica mineralization by regulating local reaction conditions

Biomaterials Science ◽

10.1039/c8bm00412a ◽

2018 ◽

Vol 6 (9) ◽

pp. 2316-2319 ◽

Cited By ~ 5

Author(s):

Takaaki Hatanaka ◽

Masataka Ohashi ◽

Nobuhiro Ishida

Keyword(s):

Local Reaction ◽

Cationic Peptides ◽

Reaction Conditions ◽

Physiological Conditions

Using cationic peptides with tetramethyl orthosilicate, a silica nano-film >100 μm in size with <100 nm thickness was constructed under physiological conditions.

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Dynamic Modeling of Reversible Methanolysis ofJatropha curcasOil to Biodiesel

The Scientific World JOURNAL ◽

10.1155/2013/268385 ◽

2013 ◽

Vol 2013 ◽

pp. 1-7 ◽

Cited By ~ 1

Author(s):

Azhari M. Syam ◽

Hamidah A. Hamid ◽

Robiah Yunus ◽

Umer Rashid

Keyword(s):

Experimental Data ◽

Dynamic Modeling ◽

Catalyst Concentration ◽

Molar Ratio ◽

Model Parameters ◽

Kinetics Study ◽

Reaction Conditions ◽

Kinetics Studies ◽

Optimal Reaction

Many kinetics studies on methanolysis assumed the reactions to be irreversible. The aim of the present work was to study the dynamic modeling of reversible methanolysis ofJatropha curcasoil (JCO) to biodiesel. The experimental data were collected under the optimal reaction conditions: molar ratio of methanol to JCO at 6 : 1, reaction temperature of 60°C, 60 min of reaction time, and 1% w/w of catalyst concentration. The dynamic modeling involved the derivation of differential equations for rates of three stepwise reactions. The simulation study was then performed on the resulting equations using MATLAB. The newly developed reversible models were fitted with various rate constants and compared with the experimental data for fitting purposes. In addition, analysis of variance was done statistically to evaluate the adequacy and quality of model parameters. The kinetics study revealed that the reverse reactions were significantly slower than forward reactions. The activation energies ranged from 6.5 to 44.4 KJ mol−1.

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Undecagold labeling of tRNA

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100084521 ◽

1991 ◽

Vol 49 ◽

pp. 44-45

Author(s):

James F. Hainfeld ◽

Kyra M. Alford ◽

Mathias Sprinzl ◽

Valsan Mandiyan ◽

Santa J. Tumminia ◽

...

Keyword(s):

High Resolution ◽

Transmission Electron Micrograph ◽

Anticodon Loop ◽

Electron Micrograph ◽

Reaction Conditions ◽

Scanning Transmission Electron ◽

Transmission Electron ◽

Scanning Transmission

The undecagold (Au11) cluster was used to covalently label tRNA molecules at two specific ribonucleotides, one at position 75, and one at position 32 near the anticodon loop. Two different Au11 derivatives were used, one with a monomaleimide and one with a monoiodacetamide to effect efficient reactions.The first tRNA labeled was yeast tRNAphe which had a 2-thiocytidine (s2C) enzymatically introduced at position 75. This was found to react with the iodoacetamide-Aun derivative (Fig. 1) but not the maleimide-Aun (Fig. 2). Reaction conditions were 37° for 16 hours. Addition of dimethylformamide (DMF) up to 70% made no improvement in the labeling yield. A high resolution scanning transmission electron micrograph (STEM) taken using the darkfield elastically scattered electrons is shown in Fig. 3.

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